Continuous wavelet transform for the detection and classification of epileptiform activity in the EEG

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This paper outlines a novel approach to wavelet based detection of epileptiform activity in the EEG. A special complex-valued wavelet filter is used in a continuous wavelet transform (CWT). The response of wavelet coefficients (WCs) to euileutiform discharges (EDs) is measured with artifact-free background and definite EDs is achieved. A detector based on the WCs of this scale could operate at 45%sensitivity without false alarms, or at 99% sensitivity with 19 false alarms per minute on an artifact-free recording.